import torch.nn as nn


class RegressionNet(nn.Module):
    def __init__(self, in_features, out_features=1):
        super(RegressionNet, self).__init__()
        self.net = nn.Sequential(
            nn.Linear(in_features, out_features),
            # nn.LeakyReLU(inplace=True),
            # nn.Linear(10, out_features)
        )

    def forward(self, x):
        x = self.net(x)
        return x
